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University: Georgia Tech ^{❌}

You searched for `subject:(NONPARAMETRIC ESTIMATION MATHEMATICAL STATISTICS )`

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Georgia Tech

1. Gong, Yun. Empirical likelihood and extremes.

Degree: PhD, Mathematics, 2012, Georgia Tech

URL: http://hdl.handle.net/1853/43581

► In 1988, Owen introduced empirical likelihood as a *nonparametric* method for constructing confidence intervals and regions. Since then, empirical likelihood has been studied extensively in…
(more)

Subjects/Keywords: Diffusion processes; Nonparametric likelihood; GARCH; ROC curve; Value at Risk; Empirical likelihood; Extremal problems (Mathematics); Golden section; Calculus of variations; Bootstrap (Statistics); Mathematical statistics

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APA (6^{th} Edition):

Gong, Y. (2012). Empirical likelihood and extremes. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43581

Chicago Manual of Style (16^{th} Edition):

Gong, Yun. “Empirical likelihood and extremes.” 2012. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/43581.

MLA Handbook (7^{th} Edition):

Gong, Yun. “Empirical likelihood and extremes.” 2012. Web. 22 Aug 2019.

Vancouver:

Gong Y. Empirical likelihood and extremes. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/43581.

Council of Science Editors:

Gong Y. Empirical likelihood and extremes. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43581

Georgia Tech

2. Francis, Ollie Brown. Elements of linear regression: an expository development.

Degree: MS, Applied Mathematics, 1960, Georgia Tech

URL: http://hdl.handle.net/1853/30385

Subjects/Keywords: Mathematical statistics

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APA (6^{th} Edition):

Francis, O. B. (1960). Elements of linear regression: an expository development. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/30385

Chicago Manual of Style (16^{th} Edition):

Francis, Ollie Brown. “Elements of linear regression: an expository development.” 1960. Masters Thesis, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/30385.

MLA Handbook (7^{th} Edition):

Francis, Ollie Brown. “Elements of linear regression: an expository development.” 1960. Web. 22 Aug 2019.

Vancouver:

Francis OB. Elements of linear regression: an expository development. [Internet] [Masters thesis]. Georgia Tech; 1960. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/30385.

Council of Science Editors:

Francis OB. Elements of linear regression: an expository development. [Masters Thesis]. Georgia Tech; 1960. Available from: http://hdl.handle.net/1853/30385

Georgia Tech

3. Zhou, Fan. Statistical inference for high dimensional data with low rank structure.

Degree: PhD, Mathematics, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60750

► We study two major topics on statistical inference for high dimensional data with low rank structure occurred in many machine learning and *statistics* applications. The…
(more)

Subjects/Keywords: Nonparametric statistics; Matrix completion; Low rank; Nuclear norm; Tensor; Singular vector perturbation

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APA (6^{th} Edition):

Zhou, F. (2018). Statistical inference for high dimensional data with low rank structure. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60750

Chicago Manual of Style (16^{th} Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/60750.

MLA Handbook (7^{th} Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Web. 22 Aug 2019.

Vancouver:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/60750.

Council of Science Editors:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60750

4. Remenyi, Norbert. Contributions to Bayesian wavelet shrinkage.

Degree: PhD, Industrial and Systems Engineering, 2012, Georgia Tech

URL: http://hdl.handle.net/1853/45898

► This thesis provides contributions to research in Bayesian modeling and shrinkage in the wavelet domain. Wavelets are a powerful tool to describe phenomena rapidly changing…
(more)

Subjects/Keywords: Bayes factor; Bayesian estimation; Bayesian infere; Wavelets (Mathematics); Bayesian statistical decision theory; Mathematical statistics

…time, and wavelet-based modeling has become a standard technique in many areas of *statistics*… …and more broadly, in sciences and engineering.
Bayesian modeling and *estimation* in the… …wavelet domain have found useful applications in *nonparametric* regression, image denoising, and… …for applications
in *nonparametric* regression, image denoising, and partially linear models… …main focus of the overview chapter is on *nonparametric*
regression, where the observations…

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APA (6^{th} Edition):

Remenyi, N. (2012). Contributions to Bayesian wavelet shrinkage. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45898

Chicago Manual of Style (16^{th} Edition):

Remenyi, Norbert. “Contributions to Bayesian wavelet shrinkage.” 2012. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/45898.

MLA Handbook (7^{th} Edition):

Remenyi, Norbert. “Contributions to Bayesian wavelet shrinkage.” 2012. Web. 22 Aug 2019.

Vancouver:

Remenyi N. Contributions to Bayesian wavelet shrinkage. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/45898.

Council of Science Editors:

Remenyi N. Contributions to Bayesian wavelet shrinkage. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/45898

Georgia Tech

5. Jones, Martin Lee. Universal constants in optimal stopping theory.

Degree: PhD, Mathematics, 1989, Georgia Tech

URL: http://hdl.handle.net/1853/30092

Subjects/Keywords: Probabilities; Optimal stopping (Mathematical statistics)

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APA (6^{th} Edition):

Jones, M. L. (1989). Universal constants in optimal stopping theory. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/30092

Chicago Manual of Style (16^{th} Edition):

Jones, Martin Lee. “Universal constants in optimal stopping theory.” 1989. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/30092.

MLA Handbook (7^{th} Edition):

Jones, Martin Lee. “Universal constants in optimal stopping theory.” 1989. Web. 22 Aug 2019.

Vancouver:

Jones ML. Universal constants in optimal stopping theory. [Internet] [Doctoral dissertation]. Georgia Tech; 1989. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/30092.

Council of Science Editors:

Jones ML. Universal constants in optimal stopping theory. [Doctoral Dissertation]. Georgia Tech; 1989. Available from: http://hdl.handle.net/1853/30092

6. Saeed, Usman. Adaptive numerical techniques for the solution of electromagnetic integral equations.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

URL: http://hdl.handle.net/1853/41173

► Various error *estimation* and adaptive refinement techniques for the solution of electromagnetic integral equations were developed. Residual based error estimators and h-refinement implementations were done…
(more)

Subjects/Keywords: Error estimation; Electromagnetic integral equations; Boundary element method; LCN; Method of moments; Adaptive refinement; Electromagnetic measurements; Electromagnetism Mathematical models; Moments method (Statistics); Numerical grid generation (Numerical analysis)

…problem in Figure 3 computed using different error
*estimation* schemes.
57
Figure 4.5: Global… …*estimation* techniques for the numerical solution of differential equations using
finite element… …computationally inexpensive as desired. This dissertation investigates several novel error
*estimation*… …approach, we present various explicit error *estimation*
techniques and use them to carry out… …based explicit error
*estimation* techniques for the MoM solution of electromagnetic integral…

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APA (6^{th} Edition):

Saeed, U. (2011). Adaptive numerical techniques for the solution of electromagnetic integral equations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41173

Chicago Manual of Style (16^{th} Edition):

Saeed, Usman. “Adaptive numerical techniques for the solution of electromagnetic integral equations.” 2011. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/41173.

MLA Handbook (7^{th} Edition):

Saeed, Usman. “Adaptive numerical techniques for the solution of electromagnetic integral equations.” 2011. Web. 22 Aug 2019.

Vancouver:

Saeed U. Adaptive numerical techniques for the solution of electromagnetic integral equations. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/41173.

Council of Science Editors:

Saeed U. Adaptive numerical techniques for the solution of electromagnetic integral equations. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41173

Georgia Tech

7. Roberts, Craig Arnold. Modeling the relationships between microscopic and macroscopic travel activity on freeways : bridging the gap between current travel demand models and emerging mobile emission models.

Degree: PhD, Civil and environmental engineering, 1999, Georgia Tech

URL: http://hdl.handle.net/1853/32873

Subjects/Keywords: Traffic estimation Mathematical models; Transportation Planning; Automobiles Motors

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APA (6^{th} Edition):

Roberts, C. A. (1999). Modeling the relationships between microscopic and macroscopic travel activity on freeways : bridging the gap between current travel demand models and emerging mobile emission models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/32873

Chicago Manual of Style (16^{th} Edition):

Roberts, Craig Arnold. “Modeling the relationships between microscopic and macroscopic travel activity on freeways : bridging the gap between current travel demand models and emerging mobile emission models.” 1999. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/32873.

MLA Handbook (7^{th} Edition):

Roberts, Craig Arnold. “Modeling the relationships between microscopic and macroscopic travel activity on freeways : bridging the gap between current travel demand models and emerging mobile emission models.” 1999. Web. 22 Aug 2019.

Vancouver:

Roberts CA. Modeling the relationships between microscopic and macroscopic travel activity on freeways : bridging the gap between current travel demand models and emerging mobile emission models. [Internet] [Doctoral dissertation]. Georgia Tech; 1999. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/32873.

Council of Science Editors:

Roberts CA. Modeling the relationships between microscopic and macroscopic travel activity on freeways : bridging the gap between current travel demand models and emerging mobile emission models. [Doctoral Dissertation]. Georgia Tech; 1999. Available from: http://hdl.handle.net/1853/32873

Georgia Tech

8. Tan, Matthias H. Y. Contributions to quality improvement methodologies and computer experiments.

Degree: PhD, Industrial and Systems Engineering, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/48936

► This dissertation presents novel methodologies for five problem areas in modern quality improvement and computer experiments, i.e., selective assembly, robust design with computer experiments, multivariate…
(more)

Subjects/Keywords: Selective assembly; Robust parameter design; Quadratic loss; Multivariate quality control; Mean shift identification; Split plot experiments; Bayesian model selection; Space-filling designs; Minimax designs; Sampling (Statistics); Mathematical statistics; Quality control

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APA (6^{th} Edition):

Tan, M. H. Y. (2013). Contributions to quality improvement methodologies and computer experiments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/48936

Chicago Manual of Style (16^{th} Edition):

Tan, Matthias H Y. “Contributions to quality improvement methodologies and computer experiments.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/48936.

MLA Handbook (7^{th} Edition):

Tan, Matthias H Y. “Contributions to quality improvement methodologies and computer experiments.” 2013. Web. 22 Aug 2019.

Vancouver:

Tan MHY. Contributions to quality improvement methodologies and computer experiments. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/48936.

Council of Science Editors:

Tan MHY. Contributions to quality improvement methodologies and computer experiments. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/48936

Georgia Tech

9.
Kim, Heeyoung.
Statistical methods for function *estimation* and classification.

Degree: PhD, Industrial and Systems Engineering, 2011, Georgia Tech

URL: http://hdl.handle.net/1853/44806

► This thesis consists of three chapters. The first chapter focuses on adaptive smoothing splines for fitting functions with varying roughness. In the first part of…
(more)

Subjects/Keywords: Adaptive smoothing splines; Asymptotic optimality; Coordinate measuring machine; Wavelets; Classification; Mathematical statistics; Spline theory; Function spaces

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APA (6^{th} Edition):

Kim, H. (2011). Statistical methods for function estimation and classification. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44806

Chicago Manual of Style (16^{th} Edition):

Kim, Heeyoung. “Statistical methods for function estimation and classification.” 2011. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/44806.

MLA Handbook (7^{th} Edition):

Kim, Heeyoung. “Statistical methods for function estimation and classification.” 2011. Web. 22 Aug 2019.

Vancouver:

Kim H. Statistical methods for function estimation and classification. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/44806.

Council of Science Editors:

Kim H. Statistical methods for function estimation and classification. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/44806

Georgia Tech

10. Morgan, Frank Harrold. The correspondence theorem.

Degree: MS, Applied Mathematics, 1964, Georgia Tech

URL: http://hdl.handle.net/1853/28845

Subjects/Keywords: Distribution (Probability theory); Intergrals, Generalized; Mathematical statistics

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APA (6^{th} Edition):

Morgan, F. H. (1964). The correspondence theorem. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28845

Chicago Manual of Style (16^{th} Edition):

Morgan, Frank Harrold. “The correspondence theorem.” 1964. Masters Thesis, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/28845.

MLA Handbook (7^{th} Edition):

Morgan, Frank Harrold. “The correspondence theorem.” 1964. Web. 22 Aug 2019.

Vancouver:

Morgan FH. The correspondence theorem. [Internet] [Masters thesis]. Georgia Tech; 1964. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/28845.

Council of Science Editors:

Morgan FH. The correspondence theorem. [Masters Thesis]. Georgia Tech; 1964. Available from: http://hdl.handle.net/1853/28845

Georgia Tech

11. Shieh, Jung-Sheng. Some applications of the Bechhofer-Kiefer-Sobel generalized sequential probability ratio test to software reliability testing.

Degree: PhD, Mathematics, 1992, Georgia Tech

URL: http://hdl.handle.net/1853/28928

Subjects/Keywords: Computer software Reliability; Sequential analysis; Mathematical statistics

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APA (6^{th} Edition):

Shieh, J. (1992). Some applications of the Bechhofer-Kiefer-Sobel generalized sequential probability ratio test to software reliability testing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/28928

Chicago Manual of Style (16^{th} Edition):

Shieh, Jung-Sheng. “Some applications of the Bechhofer-Kiefer-Sobel generalized sequential probability ratio test to software reliability testing.” 1992. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/28928.

MLA Handbook (7^{th} Edition):

Shieh, Jung-Sheng. “Some applications of the Bechhofer-Kiefer-Sobel generalized sequential probability ratio test to software reliability testing.” 1992. Web. 22 Aug 2019.

Vancouver:

Shieh J. Some applications of the Bechhofer-Kiefer-Sobel generalized sequential probability ratio test to software reliability testing. [Internet] [Doctoral dissertation]. Georgia Tech; 1992. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/28928.

Council of Science Editors:

Shieh J. Some applications of the Bechhofer-Kiefer-Sobel generalized sequential probability ratio test to software reliability testing. [Doctoral Dissertation]. Georgia Tech; 1992. Available from: http://hdl.handle.net/1853/28928

Georgia Tech

12. Brubaker, S. Charles. Extensions of principal components analysis.

Degree: PhD, Computing, 2009, Georgia Tech

URL: http://hdl.handle.net/1853/29645

► Principal Components Analysis is a standard tool in data analysis, widely used in data-rich fields such as computer vision, data mining, bioinformatics, and econometrics. For…
(more)

Subjects/Keywords: Principal components analysis; Planted cliques; Random tensors; Mixture models; Principal components analysis; Algorithms; Mathematical statistics; Eigenvectors

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APA (6^{th} Edition):

Brubaker, S. C. (2009). Extensions of principal components analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29645

Chicago Manual of Style (16^{th} Edition):

Brubaker, S Charles. “Extensions of principal components analysis.” 2009. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/29645.

MLA Handbook (7^{th} Edition):

Brubaker, S Charles. “Extensions of principal components analysis.” 2009. Web. 22 Aug 2019.

Vancouver:

Brubaker SC. Extensions of principal components analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/29645.

Council of Science Editors:

Brubaker SC. Extensions of principal components analysis. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29645

Georgia Tech

13. Friedman, David J. Evaluation of predictive equations using biased estimators for the linear regression model.

Degree: PhD, Industrial engineering, 1983, Georgia Tech

URL: http://hdl.handle.net/1853/33440

Subjects/Keywords: Regression analysis; Log-linear models; Mathematical statistics

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APA (6^{th} Edition):

Friedman, D. J. (1983). Evaluation of predictive equations using biased estimators for the linear regression model. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33440

Chicago Manual of Style (16^{th} Edition):

Friedman, David J. “Evaluation of predictive equations using biased estimators for the linear regression model.” 1983. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/33440.

MLA Handbook (7^{th} Edition):

Friedman, David J. “Evaluation of predictive equations using biased estimators for the linear regression model.” 1983. Web. 22 Aug 2019.

Vancouver:

Friedman DJ. Evaluation of predictive equations using biased estimators for the linear regression model. [Internet] [Doctoral dissertation]. Georgia Tech; 1983. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/33440.

Council of Science Editors:

Friedman DJ. Evaluation of predictive equations using biased estimators for the linear regression model. [Doctoral Dissertation]. Georgia Tech; 1983. Available from: http://hdl.handle.net/1853/33440

Georgia Tech

14. Smith, Andrew Korb. New results in dimension reduction and model selection.

Degree: PhD, Industrial and Systems Engineering, 2008, Georgia Tech

URL: http://hdl.handle.net/1853/22586

► Dimension reduction is a vital tool in many areas of applied *statistics* in which the dimensionality of the predictors can be large. In such cases,…
(more)

Subjects/Keywords: Hlle; Ltsa; Manifold learning; Model selection criteria; Mathematical models; Mathematical statistics; Correlation (Statistics); Algorithms

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APA (6^{th} Edition):

Smith, A. K. (2008). New results in dimension reduction and model selection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/22586

Chicago Manual of Style (16^{th} Edition):

Smith, Andrew Korb. “New results in dimension reduction and model selection.” 2008. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/22586.

MLA Handbook (7^{th} Edition):

Smith, Andrew Korb. “New results in dimension reduction and model selection.” 2008. Web. 22 Aug 2019.

Vancouver:

Smith AK. New results in dimension reduction and model selection. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/22586.

Council of Science Editors:

Smith AK. New results in dimension reduction and model selection. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/22586

Georgia Tech

15.
Chou, I-Chun.
Parameter *estimation* and network identification in metabolic pathway systems.

Degree: PhD, Biomedical Engineering, 2008, Georgia Tech

URL: http://hdl.handle.net/1853/26513

► Cells are able to function and survive due to a delicate orchestration of the expression of genes and their downstream products at the genetic, transcriptomic,…
(more)

Subjects/Keywords: Metabolic network; Biochemical systems theory; Network identification; Parameter estimation; Metabolism; Mathematical models; Algorithms

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APA (6^{th} Edition):

Chou, I. (2008). Parameter estimation and network identification in metabolic pathway systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26513

Chicago Manual of Style (16^{th} Edition):

Chou, I-Chun. “Parameter estimation and network identification in metabolic pathway systems.” 2008. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/26513.

MLA Handbook (7^{th} Edition):

Chou, I-Chun. “Parameter estimation and network identification in metabolic pathway systems.” 2008. Web. 22 Aug 2019.

Vancouver:

Chou I. Parameter estimation and network identification in metabolic pathway systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/26513.

Council of Science Editors:

Chou I. Parameter estimation and network identification in metabolic pathway systems. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/26513

Georgia Tech

16. Wang, Shuchun. Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models.

Degree: PhD, Industrial and Systems Engineering, 2006, Georgia Tech

URL: http://hdl.handle.net/1853/19753

► Despite their success and widespread usage in industry and business, ES methods have received little attention from the statistical community. We investigate three types of…
(more)

Subjects/Keywords: State space model; Prediction intervals; ARIMA models; Model selection; Maximum likelihood estimation; Gaussian process; Smoothing (Statistics); Computer simulation

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APA (6^{th} Edition):

Wang, S. (2006). Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19753

Chicago Manual of Style (16^{th} Edition):

Wang, Shuchun. “Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models.” 2006. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/19753.

MLA Handbook (7^{th} Edition):

Wang, Shuchun. “Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models.” 2006. Web. 22 Aug 2019.

Vancouver:

Wang S. Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/19753.

Council of Science Editors:

Wang S. Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/19753

17. Valencia Arboleda, Carlos Felipe. Contributions to statistical learning and its applications in personalized medicine.

Degree: PhD, Industrial and Systems Engineering, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/49143

► This dissertation, in general, is about finding stable solutions to statistical models with very large number of parameters and to analyze their asymptotic statistical properties.…
(more)

Subjects/Keywords: Statistical learning; Regularization; Penalized estimation; Individualized treatment rule; Statistics; Multivariate analysis; Regression analysis

…*nonparametric* *estimation* of f0 . The particular interest in this project is to analysis
the… …LIST OF FIGURES
1
*Estimation* errors in logarithmic scale… …18
3
*Estimation* and Prediction errors in logarithmic scale when the eigenvalues
in the… …smoothness is
assumed in the case of non-parametric function *estimation*, or sparsity in the case of… …methods based on penalized *estimation*. Those procedures find an estimator that is the result of…

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APA (6^{th} Edition):

Valencia Arboleda, C. F. (2013). Contributions to statistical learning and its applications in personalized medicine. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49143

Chicago Manual of Style (16^{th} Edition):

Valencia Arboleda, Carlos Felipe. “Contributions to statistical learning and its applications in personalized medicine.” 2013. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/49143.

MLA Handbook (7^{th} Edition):

Valencia Arboleda, Carlos Felipe. “Contributions to statistical learning and its applications in personalized medicine.” 2013. Web. 22 Aug 2019.

Vancouver:

Valencia Arboleda CF. Contributions to statistical learning and its applications in personalized medicine. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/49143.

Council of Science Editors:

Valencia Arboleda CF. Contributions to statistical learning and its applications in personalized medicine. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49143

18. Parker, Lonnie Thomas. Science-centric sampling approaches of geo-physical environments for realistic robot navigation.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

URL: http://hdl.handle.net/1853/44813

► The objective of this research effort is to provide a methodology for assessing the effectiveness of sampling techniques used to gather different types of geo-physical…
(more)

Subjects/Keywords: Sampling strategies; Navigation; Robotic surveying; Spatial estimation; Mobile robots; Sampling (Statistics); Artificial intelligence Geophysical applications; Navigation

…Comparing expected and actual error between traditional and
informed *estimation* methods, M N = 9… …31
Comparing expected and actual error between informed and
traditional *estimation* methods… …our
informed *estimation* methodology. Navigation is in the positive x direction for… …informed *estimation* using lawnmower-traditional
navigation as a sampling scheme as applied to… …Performance of informed *estimation* using lawnmower-random
navigation as a sampling scheme as applied…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Parker, L. T. (2012). Science-centric sampling approaches of geo-physical environments for realistic robot navigation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44813

Chicago Manual of Style (16^{th} Edition):

Parker, Lonnie Thomas. “Science-centric sampling approaches of geo-physical environments for realistic robot navigation.” 2012. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/44813.

MLA Handbook (7^{th} Edition):

Parker, Lonnie Thomas. “Science-centric sampling approaches of geo-physical environments for realistic robot navigation.” 2012. Web. 22 Aug 2019.

Vancouver:

Parker LT. Science-centric sampling approaches of geo-physical environments for realistic robot navigation. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/44813.

Council of Science Editors:

Parker LT. Science-centric sampling approaches of geo-physical environments for realistic robot navigation. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44813

19.
Minsker, Stanislav.
Non-asymptotic bounds for prediction problems and density *estimation*.

Degree: PhD, Mathematics, 2012, Georgia Tech

URL: http://hdl.handle.net/1853/44808

► This dissertation investigates the learning scenarios where a high-dimensional parameter has to be estimated from a given sample of fixed size, often smaller than the…
(more)

Subjects/Keywords: Active learning; Sparse recovery; Oracle inequality; Confidence bands; Infinite dictionary; Estimation theory Asymptotic theory; Estimation theory; Distribution (Probability theory); Prediction theory; Active learning; Algorithms; Mathematical optimization; Chebyshev approximation

…researcher. In general, consistent *estimation*
of all parameters of the system is impossible in this… …*nonparametric* assumptions on the regression function – namely, we assume that it belongs
to a certain… …*estimation* of regression function in sup-norm is sensitive to the
geometry of design distribution… …mainly because the quality of *estimation* depends on
the local amount of data at every point… …adaptive confidence bands for the regression function.
17
*Nonparametric* confidence bands form…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Minsker, S. (2012). Non-asymptotic bounds for prediction problems and density estimation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44808

Chicago Manual of Style (16^{th} Edition):

Minsker, Stanislav. “Non-asymptotic bounds for prediction problems and density estimation.” 2012. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/44808.

MLA Handbook (7^{th} Edition):

Minsker, Stanislav. “Non-asymptotic bounds for prediction problems and density estimation.” 2012. Web. 22 Aug 2019.

Vancouver:

Minsker S. Non-asymptotic bounds for prediction problems and density estimation. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/44808.

Council of Science Editors:

Minsker S. Non-asymptotic bounds for prediction problems and density estimation. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44808

Georgia Tech

20. Young, Stephen J. Random dot product graphs: a flexible model for complex networks.

Degree: PhD, Mathematics, 2008, Georgia Tech

URL: http://hdl.handle.net/1853/26548

► Over the last twenty years, as biological, technological, and social net- works have risen in prominence and importance, the study of complex networks has attracted…
(more)

Subjects/Keywords: Comlex networks; Random graphs; Power-law; Clustering; Assortativity; Spectral gap; Conductance; Cluster analysis; Mathematical statistics; Random graphs

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APA (6^{th} Edition):

Young, S. J. (2008). Random dot product graphs: a flexible model for complex networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26548

Chicago Manual of Style (16^{th} Edition):

Young, Stephen J. “Random dot product graphs: a flexible model for complex networks.” 2008. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/26548.

MLA Handbook (7^{th} Edition):

Young, Stephen J. “Random dot product graphs: a flexible model for complex networks.” 2008. Web. 22 Aug 2019.

Vancouver:

Young SJ. Random dot product graphs: a flexible model for complex networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/26548.

Council of Science Editors:

Young SJ. Random dot product graphs: a flexible model for complex networks. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/26548

Georgia Tech

21. Wang, Ni. Statistical Learning in Logistics and Manufacturing Systems.

Degree: PhD, Industrial and Systems Engineering, 2006, Georgia Tech

URL: http://hdl.handle.net/1853/11457

► This thesis focuses on the developing of statistical methodology in reliability and quality engineering, and to assist the decision-makings at enterprise level, process level, and…
(more)

Subjects/Keywords: Spatial prediction; Continuous approximation; Logistics systems; Reliability (Engineering) Mathematical models; Spatial analysis (Statistics); Approximation theory; Decision support systems

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APA (6^{th} Edition):

Wang, N. (2006). Statistical Learning in Logistics and Manufacturing Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/11457

Chicago Manual of Style (16^{th} Edition):

Wang, Ni. “Statistical Learning in Logistics and Manufacturing Systems.” 2006. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/11457.

MLA Handbook (7^{th} Edition):

Wang, Ni. “Statistical Learning in Logistics and Manufacturing Systems.” 2006. Web. 22 Aug 2019.

Vancouver:

Wang N. Statistical Learning in Logistics and Manufacturing Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/11457.

Council of Science Editors:

Wang N. Statistical Learning in Logistics and Manufacturing Systems. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/11457

Georgia Tech

22. Carroll, Charles W. An operations research approach to the economic optimization of a kraft pulping process.

Degree: PhD, Institute of Paper Science and Technology, 1959, Georgia Tech

URL: http://hdl.handle.net/1853/5853

Subjects/Keywords: Kraft pulping process; Operations research; Kinetics; Economic balance; Optimization; Statistics; Response surface technique; Mathematical models

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APA (6^{th} Edition):

Carroll, C. W. (1959). An operations research approach to the economic optimization of a kraft pulping process. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5853

Chicago Manual of Style (16^{th} Edition):

Carroll, Charles W. “An operations research approach to the economic optimization of a kraft pulping process.” 1959. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/5853.

MLA Handbook (7^{th} Edition):

Carroll, Charles W. “An operations research approach to the economic optimization of a kraft pulping process.” 1959. Web. 22 Aug 2019.

Vancouver:

Carroll CW. An operations research approach to the economic optimization of a kraft pulping process. [Internet] [Doctoral dissertation]. Georgia Tech; 1959. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/5853.

Council of Science Editors:

Carroll CW. An operations research approach to the economic optimization of a kraft pulping process. [Doctoral Dissertation]. Georgia Tech; 1959. Available from: http://hdl.handle.net/1853/5853

23. Dufresne, Stephane. A hierarchical modeling methodology for the definition and selection of requirements.

Degree: PhD, Aerospace Engineering, 2008, Georgia Tech

URL: http://hdl.handle.net/1853/24755

► This dissertation describes the development of a requirements analysis methodology that takes into account the concept of operations and the hierarchical decomposition of aerospace systems.…
(more)

Subjects/Keywords: Requirements traceability; Unmanned aerial vehicle; Requirements analysis; Analytic network process; Requirements engineering; Decision making Mathematical models; Multilevel models (Statistics); Drone aircraft

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APA (6^{th} Edition):

Dufresne, S. (2008). A hierarchical modeling methodology for the definition and selection of requirements. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24755

Chicago Manual of Style (16^{th} Edition):

Dufresne, Stephane. “A hierarchical modeling methodology for the definition and selection of requirements.” 2008. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/24755.

MLA Handbook (7^{th} Edition):

Dufresne, Stephane. “A hierarchical modeling methodology for the definition and selection of requirements.” 2008. Web. 22 Aug 2019.

Vancouver:

Dufresne S. A hierarchical modeling methodology for the definition and selection of requirements. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/24755.

Council of Science Editors:

Dufresne S. A hierarchical modeling methodology for the definition and selection of requirements. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24755

Georgia Tech

24. Moeller, Todd Keith. Conley-Morse Chain Maps.

Degree: PhD, Mathematics, 2005, Georgia Tech

URL: http://hdl.handle.net/1853/7221

► We introduce a new class of Conley-Morse chain maps for the purpose of comparing the qualitative structure of flows across multiple scales. Conley index theory…
(more)

Subjects/Keywords: Conley index; Morse theory; Data analysis; Mathematical statistics; Morse theory; Algebraic topology; Homology theory

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APA (6^{th} Edition):

Moeller, T. K. (2005). Conley-Morse Chain Maps. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7221

Chicago Manual of Style (16^{th} Edition):

Moeller, Todd Keith. “Conley-Morse Chain Maps.” 2005. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/7221.

MLA Handbook (7^{th} Edition):

Moeller, Todd Keith. “Conley-Morse Chain Maps.” 2005. Web. 22 Aug 2019.

Vancouver:

Moeller TK. Conley-Morse Chain Maps. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/7221.

Council of Science Editors:

Moeller TK. Conley-Morse Chain Maps. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7221

Georgia Tech

25. Prudius, Andrei A. Adaptive Random Search Methods for Simulation Optimization.

Degree: PhD, Industrial and Systems Engineering, 2007, Georgia Tech

URL: http://hdl.handle.net/1853/16318

► This thesis is concerned with identifying the best decision among a set of possible decisions in the presence of uncertainty. We are primarily interested in…
(more)

Subjects/Keywords: Averaging for function estimation; Discrete and continuous stochastic optimization; Adaptive random search; Local search; Simulated annealing; Almost sure convergence; Simulation methods; Uncertainty; Decision making; Mathematical optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Prudius, A. A. (2007). Adaptive Random Search Methods for Simulation Optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16318

Chicago Manual of Style (16^{th} Edition):

Prudius, Andrei A. “Adaptive Random Search Methods for Simulation Optimization.” 2007. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/16318.

MLA Handbook (7^{th} Edition):

Prudius, Andrei A. “Adaptive Random Search Methods for Simulation Optimization.” 2007. Web. 22 Aug 2019.

Vancouver:

Prudius AA. Adaptive Random Search Methods for Simulation Optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/16318.

Council of Science Editors:

Prudius AA. Adaptive Random Search Methods for Simulation Optimization. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16318

Georgia Tech

26. Asif, Muhammad Salman. Primal dual pursuit: a homotopy based algorithm for the Dantzig selector.

Degree: MS, Electrical and Computer Engineering, 2008, Georgia Tech

URL: http://hdl.handle.net/1853/24693

► Consider the following system model y = Ax + e, where x is n-dimensional sparse signal, y is the measurement vector in a much lower…
(more)

Subjects/Keywords: Statistical estimation; Random matrices; Convex optimization; Compressed sensing; Sparse signal recovery; Linear programming; LASSO; Model selection; L1 minimization; Dantzig shrinkability; Mathematical optimization; Homotopy theory; Signal processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Asif, M. S. (2008). Primal dual pursuit: a homotopy based algorithm for the Dantzig selector. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24693

Chicago Manual of Style (16^{th} Edition):

Asif, Muhammad Salman. “Primal dual pursuit: a homotopy based algorithm for the Dantzig selector.” 2008. Masters Thesis, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/24693.

MLA Handbook (7^{th} Edition):

Asif, Muhammad Salman. “Primal dual pursuit: a homotopy based algorithm for the Dantzig selector.” 2008. Web. 22 Aug 2019.

Vancouver:

Asif MS. Primal dual pursuit: a homotopy based algorithm for the Dantzig selector. [Internet] [Masters thesis]. Georgia Tech; 2008. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/24693.

Council of Science Editors:

Asif MS. Primal dual pursuit: a homotopy based algorithm for the Dantzig selector. [Masters Thesis]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24693

27.
Dadush, Daniel Nicolas.
Integer programming, lattice algorithms, and deterministic volume * estimation*.

Degree: PhD, Industrial and Systems Engineering, 2012, Georgia Tech

URL: http://hdl.handle.net/1853/44807

► The main *subject* of this thesis is the development of new geometric tools and techniques for solving classic problems within the geometry of numbers and…
(more)

Subjects/Keywords: Integer programming; Lattice algorithms; Convex geometry; Volume estimation; Integer programming; Convex geometry; Polytopes; Ellipsoid; Mathematical optimization; Algorithms

…78
IV THE M-ELLIPSOID AND VOLUME *ESTIMATION* . . . . . . .
80
3.4
4.1
Introduction… …*estimation* (inertial ellipsoids). Here we
consider the construction of an ellipsoid with… …an application to
near-optimal deterministic volume *estimation* in the oracle model… …In Kannan’s view, this subject, which combined the classic *mathematical*
theory of Minkowski… …covering, for which we give applications to volume *estimation*, lattice algorithms, and
integer…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Dadush, D. N. (2012). Integer programming, lattice algorithms, and deterministic volume estimation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44807

Chicago Manual of Style (16^{th} Edition):

Dadush, Daniel Nicolas. “Integer programming, lattice algorithms, and deterministic volume estimation.” 2012. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/44807.

MLA Handbook (7^{th} Edition):

Dadush, Daniel Nicolas. “Integer programming, lattice algorithms, and deterministic volume estimation.” 2012. Web. 22 Aug 2019.

Vancouver:

Dadush DN. Integer programming, lattice algorithms, and deterministic volume estimation. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/44807.

Council of Science Editors:

Dadush DN. Integer programming, lattice algorithms, and deterministic volume estimation. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44807

Georgia Tech

28.
Reynolds, Sue Bath.
Statistical *estimation* and changepoint detection methods in public health surveillance.

Degree: PhD, Industrial and Systems Engineering, 2015, Georgia Tech

URL: http://hdl.handle.net/1853/54906

► This thesis focuses on assessing and improving statistical methods implemented in two areas of public health research. The first topic involves *estimation* of national influenza-associated…
(more)

Subjects/Keywords: Statistical estimation; Changepoint detection

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APA (6^{th} Edition):

Reynolds, S. B. (2015). Statistical estimation and changepoint detection methods in public health surveillance. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54906

Chicago Manual of Style (16^{th} Edition):

Reynolds, Sue Bath. “Statistical estimation and changepoint detection methods in public health surveillance.” 2015. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/54906.

MLA Handbook (7^{th} Edition):

Reynolds, Sue Bath. “Statistical estimation and changepoint detection methods in public health surveillance.” 2015. Web. 22 Aug 2019.

Vancouver:

Reynolds SB. Statistical estimation and changepoint detection methods in public health surveillance. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/54906.

Council of Science Editors:

Reynolds SB. Statistical estimation and changepoint detection methods in public health surveillance. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54906

Georgia Tech

29.
Tan, Zhenyu.
Dynamic state *estimation* based transmission line protection.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

URL: http://hdl.handle.net/1853/56306

► This thesis proposed a dynamic state *estimation* based protection algorithm for the transmission line to 1) eliminate complex protection settings in order to prevent human…
(more)

Subjects/Keywords: Dynamic state estimation; Protective relay

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Tan, Z. (2016). Dynamic state estimation based transmission line protection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56306

Chicago Manual of Style (16^{th} Edition):

Tan, Zhenyu. “Dynamic state estimation based transmission line protection.” 2016. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/56306.

MLA Handbook (7^{th} Edition):

Tan, Zhenyu. “Dynamic state estimation based transmission line protection.” 2016. Web. 22 Aug 2019.

Vancouver:

Tan Z. Dynamic state estimation based transmission line protection. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/56306.

Council of Science Editors:

Tan Z. Dynamic state estimation based transmission line protection. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56306

Georgia Tech

30.
Moore, Michael George.
Maximum likelihood *estimation* of Poisson and Hawkes processes and extensions to Hawkes process analysis.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

URL: http://hdl.handle.net/1853/60727

► The purpose of this work is to improve our ability to extract information from data generated by Poisson and Hawkes processes. Our principal focus is…
(more)

Subjects/Keywords: Poisson; Hawkes; Point process; Estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Moore, M. G. (2018). Maximum likelihood estimation of Poisson and Hawkes processes and extensions to Hawkes process analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60727

Chicago Manual of Style (16^{th} Edition):

Moore, Michael George. “Maximum likelihood estimation of Poisson and Hawkes processes and extensions to Hawkes process analysis.” 2018. Doctoral Dissertation, Georgia Tech. Accessed August 22, 2019. http://hdl.handle.net/1853/60727.

MLA Handbook (7^{th} Edition):

Moore, Michael George. “Maximum likelihood estimation of Poisson and Hawkes processes and extensions to Hawkes process analysis.” 2018. Web. 22 Aug 2019.

Vancouver:

Moore MG. Maximum likelihood estimation of Poisson and Hawkes processes and extensions to Hawkes process analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Aug 22]. Available from: http://hdl.handle.net/1853/60727.

Council of Science Editors:

Moore MG. Maximum likelihood estimation of Poisson and Hawkes processes and extensions to Hawkes process analysis. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60727